SPIKE · OTHER LARCENYAPRIL 2026 BRIEFINGCINCINNATI · 7.4K residents

Roselawn Crime Rate Trends — Cincinnati

Roselawn is a far-north Cincinnati neighborhood along Reading Road, just south of Lockland and inside the I-275 loop. A mix of single-family residential and the Reading Road commercial strip, with a historically Jewish heritage and active synagogues.

OTHER LARCENY · 24-MO COUNT04 2026 · 14
0122412-mo avg: 12.8
ROSELAWNCITYWIDE TREND (RESCALED)+4% 12MO YOY
0%MoM
+21%12mo YoY
153last 12mo
14this month
01 · TL;DR

April 2026 produced a single signal in Roselawn: one spike in other larceny against an otherwise unremarkable month across all tracked categories. No drops, no sustained shifts, no rare events — every other category ran within its normal range.

Other larceny is the story here. The trailing 12-month total stands at 153 incidents, up 21.4% against the prior year's 126 and well above the multi-year baseline of 103.68. Robbery is also running 22.7% above the prior 12 months (27 vs. 22), but it produced no signal this period. Aggravated assault moved the other direction — 33 incidents in the current window against 41 the year before, a 19.5% decline.

1 spike
02 · Notable signals

Notable signals 1

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 153 incidents — about 48% above the 104 average from prior years.

03 · By category

All categories, last 24 months

Each panel: recent monthly count vs. trailing 12-month context. MoM is the most recent month vs. the one before; 12mo YoY compares the trailing year to the year before that.

Homicidebelow threshold
2024-052026-04
Robbery+23%
2024-052026-04
Aggravated Assault-20%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary+4%
2024-052026-04
Theft from Vehicle+9%
2024-052026-04
Other Larceny+21%
2024-052026-04
Motor Vehicle Theft-3%
2024-052026-04
05 · Forecast

What next month likely looks like

Forecasts trained through April 2026, with a likely range we're 95% confident the actual count will fall inside. Categories with too little recent volume — or violent categories at the neighborhood level — show no forecast and are surfaced through signals above instead. See the methodology page for the gating rules.

Aggravated Assault

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Burglary

APRIL 2027
Most likely 2 next month — likely between 0 and 6.
52% vs 12-month average (≈4.1)

Homicide

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Motor Vehicle Theft

APRIL 2027
Most likely 8 next month — likely between 2 and 14.
+35% vs 12-month average (≈6.1)

Other Larceny

APRIL 2027
Most likely 12 next month — likely between 5 and 19.
6% vs 12-month average (≈12.8)

Robbery

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Sexual Assault

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Theft from Vehicle

APRIL 2027
Most likely 5 next month — likely between 2 and 9.
+24% vs 12-month average (≈4.3)
06 · Context & comps

How Roselawn compares

Peer neighborhoods picked by closest 12-month other larceny volume — a pragmatic v1 of peer matching. Demographic / housing-stock peer matching isn't built yet (we deliberately don't ingest income or race data alongside crime). Volume similarity has the right intuition: “neighborhoods experiencing comparable other larceny levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Roselawn has spiked theft from vehicle historically (6 events on record), an adjacent neighborhood spiked the same category within 3 months 100% of the time. The strongest-travelling categories sit at the top of the table.

Roselawn historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Aggravated assault110%
Other larceny80%
Theft from vehicle6100%
Robbery2— too few

Each row shows Roselawn's historical spike events for that category, and how often any of its 4 adjacent neighborhoods spiked the same category within the next 3 months. A high same-category rate suggests a shock that travels (e.g. theft crews moving across Cincinnati); a low rate means spikes here tend to be local to the neighborhood. Categories with fewer than 5 historical spike events are listed but their rates are suppressed.

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Roselawn, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

partpersonalstrangulationrapehomicide
When does it happen?

Hour-of-day, day-of-week, and seasonality

Distribution of bucketed incidents in this neighborhood across the full analysis window. Useful for routine context — shopping-strip thefts vs. late-night assaults read very differently when you can see when each typically happens.

HOUR OF DAY · ALL CATEGORIES
015130312am6am12pm6pm11pm

Hour 0 is mildly inflated by reports without a known time defaulting to midnight — see methodology.

DAY OF WEEK · ALL CATEGORIES
0244488MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0147294JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from Cincinnati Open Data — STARS Category Offenses post-2024-06-03 plus PDI Crime Incidents back to 2020 — mapped to 8 UCR-aligned categories (vandalism and arson aren't recoverable across the STARS migration boundary). Aggregated to Statistical Neighborhood Approximation × category × month.Anomalies are surfaced using strict thresholds (~p < 0.01). Forecasts are Prophet with low-count gating; violent categories at the neighborhood level skip the forecast and show rare-event / streak signals instead.

Spike rule: 12-mo total > baseline mean + 2.5σ AND ≥ 20 incidents AND 6-mo confirms. Drop rule: 12-mo total < baseline mean − 2.5σ AND baseline mean ≥ 20. Rare event: any incident in the last 90 days, no prior comparable in ≥ 5 years.